Create app.py
Browse files
app.py
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import gradio as gr
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from transformers import AutoTokenizer, AutoModelForCausalLM
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# Load model and tokenizer
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model_name = "meta-llama/Meta-Llama-3-8B"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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def generate_text(prompt):
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inputs = tokenizer(prompt, return_tensors="pt")
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outputs = model.generate(**inputs, max_length=100)
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return tokenizer.decode(outputs[0], skip_special_tokens=True)
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# Create Gradio interface
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iface = gr.Interface(
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fn=generate_text,
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inputs="text",
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outputs="text",
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title="Meta-Llama-3-8B Text Generation",
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description="Enter a prompt to generate text using Meta-Llama-3-8B."
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)
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iface.launch()
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